Title
There Are No Data Like More Data- Datasets for Deep Learning in Earth Observation Michael Schmitt S. A. Ahmadi Yonghao Xu G. Taşkın Ujjwal Verma F. Sica Ronny Hansch 72 27 0 30 Oct 2023
TorchDEQ: A Library for Deep Equilibrium Models Zhengyang Geng J. Zico Kolter VLM 160 12 0 28 Oct 2023
PockEngine: Sparse and Efficient Fine-tuning in a Pocket Ligeng Zhu Lanxiang Hu Ji Lin Wei-Chen Wang Wei-Ming Chen Chuang Gan Song Han 49 23 0 26 Oct 2023
MCUFormer: Deploying Vision Transformers on Microcontrollers with Limited Memory Yinan Liang Ziwei Wang Xiuwei Xu Yansong Tang Jie Zhou Jiwen Lu 92 10 0 25 Oct 2023
Citizen participation: crowd-sensed sustainable indoor location services Ioannis Nasios Konstantinos Vogklis A. Malhi Anastasia Vayona P. Chatziadam Vasilis Katos 114 0 0 25 Oct 2023
Task Grouping for Automated Multi-Task Machine Learning via Task Affinity Prediction Afiya Ayman Ayan Mukhopadhyay Aron Laszka 73 1 0 24 Oct 2023
Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations Da Fan S. Greybush David John Gagne E. Clothiaux 76 2 0 24 Oct 2023
Preference Elicitation with Soft Attributes in Interactive Recommendation Erdem Biyik Fan Yao Yinlam Chow Alex Haig Chih-Wei Hsu Mohammad Ghavamzadeh Craig Boutilier 129 4 0 22 Oct 2023
Learning Interpretable Rules for Scalable Data Representation and Classification Zhuo Wang Wei Zhang Ning Liu Jianyong Wang 62 8 0 22 Oct 2023
RL-X: A Deep Reinforcement Learning Library (not only) for RoboCup Nico Bohlinger Klaus Dorer 78 4 0 20 Oct 2023
DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset Weijie Liu Xiaoxi Zhang Jingpu Duan Carlee Joe-Wong Zhi Zhou Xu Chen 80 9 0 20 Oct 2023
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices Xiaolong Tu Anik Mallik Dawei Chen Kyungtae Han Onur Altintas Haoxin Wang Jiang Xie 69 13 0 19 Oct 2023
Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series Ioannis Nasios Konstantinos Vogklis AI4TS 62 9 0 19 Oct 2023
DocXChain: A Powerful Open-Source Toolchain for Document Parsing and Beyond Cong Yao 91 6 0 19 Oct 2023
On Unsupervised Image-to-image translation and GAN stability BahaaEddin AlAila Zahra Jandaghi Abolfazl Farahani M. Al-Saad GAN 50 1 0 18 Oct 2023
Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle Xu Yang Xiao Yang Weiqing Liu Jinhui Li Peng Yu Zeqi Ye Jiang Bian 76 1 0 17 Oct 2023
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms Alexander Bukharin Yan Li Yue Yu Qingru Zhang Zhehui Chen Simiao Zuo Chao Zhang Songan Zhang Tuo Zhao OOD AAML 80 19 0 16 Oct 2023
GEVO-ML: Optimizing Machine Learning Code with Evolutionary Computation Jhe-Yu Liou Stephanie Forrest Carole-Jean Wu VLM 63 0 0 16 Oct 2023
Outlier Detection Using Generative Models with Theoretical Performance Guarantees Jirong Yi A. D. Le Tianming Wang Xiaodong Wu Weiyu Xu 116 3 0 16 Oct 2023
G10: Enabling An Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations Haoyang Zhang Yirui Eric Zhou Yu Xue Yiqi Liu Jian Huang 39 18 0 13 Oct 2023
An Introduction to the Calibration of Computer Models Richard D. Wilkinson Christopher W. Lanyon 61 0 0 13 Oct 2023
Designing Observables for Measurements with Deep Learning Owen Long Benjamin Nachman OOD 100 1 0 12 Oct 2023
Polynomial Time Cryptanalytic Extraction of Neural Network Models Adi Shamir Isaac Canales-Martínez Anna Hambitzer J. Chávez-Saab Francisco Rodríguez-Henríquez Nitin Satpute AAML MLAU 141 14 0 12 Oct 2023
Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives Chenzhong Yin Mingxi Cheng Xiongye Xiao Xinghe Chen Shahin Nazarian Andrei Irimia Paul Bogdan 64 2 0 11 Oct 2023
Deep Aramaic: Towards a Synthetic Data Paradigm Enabling Machine Learning in Epigraphy Andrei C. Aioanei R. Hunziker-Rodewald Konstantin Klein Dominik L. Michels 161 2 0 11 Oct 2023
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification Jie Zhang Yongshan Zhang Yicong Zhou 23 0 0 11 Oct 2023
Large-Scale OD Matrix Estimation with A Deep Learning Method Zheli Xiong Defu Lian Enhong Chen Gang Chen Xiaomin Cheng 40 0 0 09 Oct 2023
CAMEL2: Enhancing weakly supervised learning for histopathology images by incorporating the significance ratio Gang Xu Shuhao Wang Lingyu Zhao Xiao Chen Tongwei Wang ... Wei Ba Zhigang Song Huaiyin Shi Dingrong Zhong Jianpeng Ma 83 2 0 09 Oct 2023
FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior knowledge Giacomo Verardo Magnus Boman Samuel Bruchfeld Marco Chiesa Sabine Koch Gerald Q. Maguire Dejan Kostic 30 1 0 06 Oct 2023
Quantized Transformer Language Model Implementations on Edge Devices Mohammad Wali Ur Rahman Murad Mehrab Abrar Hunter Gibbons Copening Salim Hariri Sicong Shao Pratik Satam Soheil Salehi MQ 68 11 0 06 Oct 2023
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control Neehal Tumma Mathias Lechner Noel Loo Ramin Hasani Daniela Rus 96 1 0 05 Oct 2023
Reverse-Mode AD of Reduce-by-Index and Scan in Futhark Lotte Maria Bruun Ulrik Stuhr Larsen N. Hinnerskov C. Oancea 29 1 0 05 Oct 2023
A peridynamic-informed deep learning model for brittle damage prediction Roozbeh Eghbalpoor A. Sheidaei AI4CE 54 7 0 02 Oct 2023
Learning to Receive Help: Intervention-Aware Concept Embedding Models M. Zarlenga Katherine M. Collins Krishnamurthy Dvijotham Adrian Weller Z. Shams M. Jamnik 91 27 0 29 Sep 2023
ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values Yong Zhao Runxin He Nicholas Kersting Can Liu Shubham Agrawal Chiranjeet Chetia Yu Gu FAtt TDI 109 0 0 29 Sep 2023
Comparing Active Learning Performance Driven by Gaussian Processes or Bayesian Neural Networks for Constrained Trajectory Exploration Sapphira Akins Frances Zhu 54 1 0 28 Sep 2023
Model Share AI: An Integrated Toolkit for Collaborative Machine Learning Model Development, Provenance Tracking, and Deployment in Python Heinrich Peters Michael Parrott 46 0 0 27 Sep 2023
Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection? Kevin Wilkinghoff Frank Kurth AAML UQCV 57 9 0 27 Sep 2023
OceanBench: The Sea Surface Height Edition J. E. Johnson Q. Febvre Anastasia Gorbunova Sammy Metref M. Ballarotta Julien Le Sommer Ronan Fablet 79 2 0 27 Sep 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey Sicong Liu Bin Guo Cheng Fang Ziqi Wang Shiyan Luo Zimu Zhou Zhiwen Yu AI4CE 95 23 0 27 Sep 2023
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets Daria Reshetova Swetava Ganguli C. V. K. Iyer Vipul Pandey 61 3 0 26 Sep 2023
Revisiting LARS for Large Batch Training Generalization of Neural Networks K. Do Duong Nguyen Hoa Nguyen Long Tran-Thanh Nguyen-Hoang Tran Quoc-Viet Pham AI4CE ODL 69 1 0 25 Sep 2023
Identification of pneumonia on chest x-ray images through machine learning Eduardo Augusto Roeder 30 0 0 21 Sep 2023
Correlation between morphological evolution of splashing drop and exerted impact force revealed by interpretation of explainable artificial intelligence Jingzu Yee Daichi Igarashi(五十嵐大地) Pradipto A. Yamanaka Yoshiyuki Tagawa(田川義之) 48 1 0 19 Sep 2023
TensorFlow Chaotic Prediction and Blow Up M. Andrecut AI4CE 13 0 0 14 Sep 2023
Multi-Robot Informative Path Planning from Regression with Sparse Gaussian Processes (with Appendix) Kalvik Jakkala Srinivas Akella 92 10 0 13 Sep 2023
Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study Federico Retyk H. Fabregat Juan Aizpuru Mariana Taglio Rabih Zbib 20 1 0 13 Sep 2023
CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis Di Guo Sijin Li Jun Liu Zhangren Tu Tianyu Qiu ... Donghai Lin Qing Hong Meijin Lin Yanqin Lin X. Qu 60 2 0 12 Sep 2023
A robust synthetic data generation framework for machine learning in High-Resolution Transmission Electron Microscopy (HRTEM) L. Dacosta Katherine Sytwu Catherine K. Groschner Mary C Scott 65 6 0 12 Sep 2023
Divergences in Color Perception between Deep Neural Networks and Humans E. Nadler Elise Darragh-Ford Bhargav Srinivasa Desikan Christian Conaway Mark Chu Tasker Hull Douglas Guilbeault 75 8 0 11 Sep 2023